Research on Application Technology of Expert Knowledge Graph Based on Greedy Iterative Search Algorithm
Wei Min Yang, Weizheng Kong, Yukun Song · 2024
In this paper, an expert matching strategy based on greedy iterative search algorithm (GIS) is proposed to solve the problem of selecting experts for science and technology project review. GIS algorithm iteratively selects the most matched experts and gradually optimizes the combination of experts to achieve the best matching effect. This paper introduces the implementation steps of GIS algorithm in detail, and compares the performance of two greedy strategies and maximum flow matching strategies in terms of matching time and matching weight sum through experiments. The experimental results show that the greedy matching strategy is superior to the maximum flow matching strategy in both speed and effect.